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Authority updating: An expert authority evaluation algorithm considering post‐evaluation and power indices in social networks
Expert Systems ( IF 3.0 ) Pub Date : 2020-08-01 , DOI: 10.1111/exsy.12605
Ruili Shi 1, 2 , Chunxiang Guo 1 , Xin Gu 1, 3
Affiliation  

In group assessment, the focus is on finding high‐authority experts to improve the reliability of assessment results. In this study, we propose an authority updating algorithm while considering the power and judgement reliability of an expert on the basis of social networks and post‐evaluations. A network power index is established and used to reflect the power of an expert while considering social networks. The measurement of the judgement reliability of an expert considers the post‐evaluation of the objects selected by experts, thereby more scientifically reflecting the reliability of experts. The analysis shows the following: although the social‐network structure influences the authority of experts, the influence weakens when the assessment group is a highly or even fully connected group; the network effect may increase the authority of some experts and reduce that of others, and it will weaken as the network connectivity increases; moreover, the judgement reliability and authority of an expert while considering post‐evaluation can encourage him/her to make fair assessments and strive to reduce his/her motivation and cognitive biases.

中文翻译:

权限更新:专家权限评估算法,考虑社交网络中的后评估和权力指数

在小组评估中,重点是寻找高权威的专家来提高评估结果的可靠性。在这项研究中,我们提出了一种权限更新算法,同时考虑了基于社交网络和后评估的专家的能力和判断的可靠性。建立网络力量指数,并在考虑社交网络时用来反映专家的力量。专家判断可靠性的度量考虑了专家选择的对象的后评估,从而更科学地反映了专家的可靠性。分析表明:尽管社交网络结构会影响专家的权威,但是当评估小组是一个高度甚至完全联系的小组时,这种影响就会减弱。网络效应可能会增加某些专家的权威,而减少其他专家的权威,并且随着网络连通性的增加,这种效应会减弱。此外,专家在考虑评估后的判断力和权威性可以鼓励其进行公正的评估,并努力减少其动机和认知偏见。
更新日期:2020-08-01
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